Research on System Architecture Based on Natural Disaster Monitoring and Early Warning Service

2021 ◽  
Author(s):  
Wen Wang ◽  
Zhi Zhang ◽  
Tao Wang ◽  
Yan Zhang ◽  
Wenhao Xu
Keyword(s):  
Natural Disaster ◽  
Early Warning ◽  
System Architecture ◽  
Disaster Monitoring ◽  
Monitoring And Early Warning

Research and Development of Universal Equipment for Geological Hazard Monitoring and Early Warning

2020 ◽  
Author(s):  
Juan Ma ◽  
Mingzhi Zhang ◽  
Gan Qi ◽  
Gloria Xing ◽  
Zack Huang
Keyword(s):  
Early Warning ◽  
Field Tests ◽  
Cost Effective ◽  
Impact Factors ◽  
Geological Hazard ◽  
Sensing Technology ◽  
Disaster Monitoring ◽  
Adaptation Scenarios ◽  
Monitoring And Early Warning

<p>Hilly and mountainous areas account for 65% of the total land area in China. There were 286,708 potential geological hazard sites registered at the end of 2018, among which 276,600 were small-and medium-sized. Small and medium geological hazards are a priority in geological disaster prevention. However, due to their large number and the high prices of professional monitoring equipment, it is difficult to find a cost-effective and accurate monitoring technology, method, or means for their long-term disaster monitoring. To this end, this paper aims to explore a reliable, cost-effective, precise, easily installable, low-power solution for small and medium geological hazard monitoring and early warning, centring on characteristic quantities such as deformation before collapse, landslides, and other disasters, and some key impact factors such as rainfall, moisture content, stress, and displacement velocity. Using universal  equipment based on microelectromechanical sensing technology and narrowband IoT technology, laboratory simulations and field tests were performed to research the equipment in terms of adaptation scenarios, effective monitoring ranges, installation methods and locations, and normalization of data reporting content, thus setting up a scientific method for small and medium geological hazard monitoring and early warning.</p>

scholarly journals Study and Application of Typical Disaster Monitoring and Early Warning System in Metal Mine

2012 ◽  
Vol 45 ◽  
pp. 125-130 ◽  
Author(s):  
Miaomiao Niu ◽  
Shunbing Zhu ◽  
Chunquan Du ◽  
Nianliang Yang ◽  
Wei Xu
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Metal Mine ◽  
Disaster Monitoring ◽  
Monitoring And Early Warning

Mountain Torrent Disaster Monitoring and Early-Warning System Based on Internet of Things

2014 ◽  
Vol 484-485 ◽  
pp. 577-580
Author(s):  
Chen Ping Zeng
Keyword(s):  
Internet Of Things ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Information Support ◽  
Flood Prevention ◽  
Automation And Control ◽  
Disaster Monitoring ◽  
Water Conservancy ◽  
Monitoring And Early Warning

As a wisdom water conservancy, mountain torrent disaster monitoring and early-warning system is an especially information part of flood prevention and drought resisting information support, and plays a very important role in the flood prevention and drought resisting in the water conservancy industry. The integration of mountain torrent disaster monitoring and early-warning system in water conservancy with the internet of things and the establishment of intelligent things networking system based on automation and control provide decision-making supports for flood prevention and mountain torrent disaster early-warning, aiming at safeguard the life and property securities of people. Therefore, by taking Zhaojue County of Liangshan Yi autonomous prefecture (an area with frequent mountain torrent disaster in Sichuan province) as an example, the implementation plan of mountain torrent disaster monitoring and early-warning system is reviewed in this paper.

scholarly journals FEASIBILITY VERIFICATION OF VIRTUAL REFERENCE STATION TECHNOLOGY IN GEOLOGICAL HAZARD MONITORING

2021 ◽  
Vol XLIII-B1-2021 ◽  
pp. 235-240
Author(s):  
Q. Zhang ◽  
M. Chen ◽  
J. Wu ◽  
C. Xu ◽  
F. Wang
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Reference Station ◽  
Geological Hazard ◽  
Virtual Reference ◽  
Geological Disaster ◽  
Calculation Results ◽  
Disaster Monitoring ◽  
Monitoring And Early Warning ◽  
Better Than

Abstract. The surveying and mapping administrative competent departments in 31 provinces (autonomous regions and municipalities) have built provincial-level satellite navigation and positioning reference stations and data centers, and provided CORS services. This provides a good condition for exploring the application of geological hazard monitoring and early warning using Virtual Reference Station (VRS) service based on CORS. At present, the layout mode of "one point one reference station" is usually adopted, when GNSS is used for geological disaster monitoring and early warning. However, the high deployment cost of this plan limits its largescale promotion and application. Using the existing CORS service resources of natural resource system, this paper carried out the application experiment of virtual reference station in geological hazard monitoring application at Huanglongya geological hazard monitoring site in Shaanxi Province, and assessed the virtual reference station data quality, comparative analyzed the precision of static baseline processing results and GNSS real-time deformation monitoring results. The experimental results show that the overall quality of virtual reference station data is better than that of the monitoring station, and the accuracy of the static baseline calculation results is better than 1.0cm in the X direction, and better than 2.0cm in the Y direction and Z direction, which is similar to the static baseline calculation results formed by the physical reference station. The accuracy of the baseline results of real-time observation data calculation is better than 5mm in horizontal RMS and 15mm in vertical RMS. Therefore, it can be seen that the virtual reference station is feasible to be used as the reference station for geological disaster monitoring. In addition, the application experiment of network RTK real-time dynamic single epoch positioning mode is also carried out in geological hazard monitoring. The experimental results show that the RMS values of all three directions are ±3.7mm, ±9.2mm and ±5.0mm respectively, which meet the precision requirements of GNSS disaster monitoring. Therefore, it is also a feasible scheme for geological disaster monitoring and early warning.

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